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2021 Index IEEE Journal of Biomedical and Health Informatics Vol. 25

2021 IEEE journal of biomedical and health informatics  
-that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  Note that the item title is found only under the primary entry in the Author Index.  ...  Frid-Adar, M., +, JBHI June 2021 1892-1903 COVID-19 Screening in Chest X-Ray Images Using Lung Region Priors.  ... 
doi:10.1109/jbhi.2022.3140980 fatcat:ufig7b54gfftnj3mocspoqbzq4

Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review [article]

Ebenezer Olaniyi, Dong Chen, Yuzhen Lu, Yanbo Huang
2022 arXiv   pre-print
Beyond traditional data augmentation techniques, generative adversarial network (GAN) invented in 2014 in the computer vision community, provides a suite of novel approaches that can learn good data representations  ...  In agricultural image analysis, optimal model performance is keenly pursued for better fulfilling visual recognition tasks (e.g., image classification, segmentation, object detection and localization),  ...  Acknowledgement This work was supported in part by Cotton Incorporated award #21-005 and the USDA National Institute of Food and Agriculture Hatch project #1025922.  ... 
arXiv:2204.04707v2 fatcat:wcvmq3vl35fo7on2pqyblbzcku

Table of contents

2019 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)  
Exploiting Silhouettes and Wearable Signals for Subject Identification in Multi-Person Environments 1599 Alessandro Masullo (University of Bristol, UK), Tilo Burghardt (University of Bristol, UK),  ...  The Instantaneous Accuracy: a Novel Metric for the Problem of Online Human Behaviour Recognition in Untrimmed Videos 1282 Marcos Baptista-Ríos (University of Alcalá, Spain), Roberto J.  ... 
doi:10.1109/iccvw.2019.00004 fatcat:balgnbs6n5gbvosrkz3mx5gn6m

Generative Adversarial Networks and Its Applications in Biomedical Informatics

Lan Lan, Lei You, Zeyang Zhang, Zhiwei Fan, Weiling Zhao, Nianyin Zeng, Yidong Chen, Xiaobo Zhou
2020 Frontiers in Public Health  
GAN can learn the generative model of any data distribution through adversarial methods with excellent performance. It has been widely applied to different areas since it was proposed in 2014.  ...  The basic Generative Adversarial Networks (GAN) model is composed of the input vector, generator, and discriminator.  ...  The basic function of GAN is to train a generator and discriminator in an adversarial way.  ... 
doi:10.3389/fpubh.2020.00164 pmid:32478029 pmcid:PMC7235323 fatcat:zfv5pztn5ndlfkk4bq53zw5hkq

Multi-Disease Prediction Based on Deep Learning: A Survey

Shuxuan Xie, Zengchen Yu, Zhihan Lv
2021 CMES - Computer Modeling in Engineering & Sciences  
In recent years, the development of artificial intelligence (AI) and the gradual beginning of AI's research in the medical field have allowed people to see the excellent prospects of the integration of  ...  It aims to clarify the effectiveness of deep learning in disease prediction, and demonstrates the high correlation between deep learning and the medical field in future development.  ...  Frid-Adar et al.  ... 
doi:10.32604/cmes.2021.016728 fatcat:h7ijktj3tvgmve5emr2adm5l2a

Sensor Applications for Human Activity Recognition in Smart Environments

Biying Fu
2021
Human activity recognition (HAR) is the automated recognition of individual or group activities from sensor inputs.  ...  This work aims at presenting sensor-driven applications for human activity recognition in smart environments by using novel sensing categories beyond the existing sensor technologies commonly applied to  ...  Data augmentation on image data Generative adversarial networks (GANs) are commonly used to generate synthetic images from unsupervised training data. Frid-Adar et al.  ... 
doi:10.26083/tuprints-00017485 fatcat:qjlbo2ybnfh7vecrand5hqv3jy

Intelligent systems and services for image and video analysis [article]

Δημήτριος Ε. Διαμαντής, University Of Thessaly, Δημήτριος Ιακωβίδης
2021
To battle this problem, in the context of inflammatory conditions detection in WCE images, a novel approach is presented that uses Generative Adversarial Networks (GANs) to generate artificial images.  ...  In view of scientific challenges for developing innovative solutions with a broad social impact, it investigates applications in biomedicine and computer-assisted navigation of visually impaired individuals  ...  Similarly, (Vaishnav et al. 2021 ) proposed a wearable device in a form of a hat.  ... 
doi:10.26253/heal.uth.13375 fatcat:4fay4wumojfndc5b6cokz2wijq

Dagstuhl Reports, Volume 7, Issue 6, June 2017, Complete Issue [article]

2018
Frontiers in Psychology, 7:748, 2016. Tran Cao Son, Enrico Pontelli, Chitta Baral, and Gregory Gelfond. Finitary s5-theories. In European Workshop on Logics in Artificial Intelligence, pages 239-252.  ...  Commercial data, however, has been stuck in proprietary silos, as the monetization strategy for sharing data in the WoD is unclear.  ...  Generative Adversarial Nets).  ... 
doi:10.4230/dagrep.7.6 fatcat:5ovvse5smzhxppthq2tu6i4icm

Social Networks and the Semantic Web

Peter Mika
2015 Proceedings of the 24th International Conference on World Wide Web - WWW '15 Companion  
Adar and Adamic offer a visualization of such communication in blogs in [Adar and Adamic, 2005] .  ...  However, even telling cities and celebrities apart is a difficult task when it comes to image recognition.  ...  potential catastrophe because 80% of the city of New Orleans and 20% of the New Orleans metropolitan area is below sea level along Lake Pontchartrain. 1998 1998-1 Johan van den Akker (CWI) DEGAS -An Active  ... 
doi:10.1145/2740908.2742138 dblp:conf/www/Mika15 fatcat:ptyntdmnjrc4tcayyytykwlaba

Secure, Efficient and Privacy-aware Framework for Unstructured Peer-to-Peer Networks

B Bazli
2017
consists of three major components namely network-aware topology construction, anonymous global communication using community trust, and efficient search and broadcasting based on granularity and pro-active  ...  Simulation results show that the proposed framework ensures better scalability and membership management in unstructured P2P networks, and improves the performance of the search and broadcasting in terms  ...  Free riders are one of the main obstacles in successful and efficient communication in cooperative communities (ADAR et al., 2000) .  ... 
doi:10.24377/ljmu.t.00006596 fatcat:dakz7xl5onfwbjpnrp4aneknle

Social Networks and the Semantic Web

P. Mika
IEEE/WIC/ACM International Conference on Web Intelligence (WI'04)  
Adar and Adamic offer a visualization of such communication in blogs in [Adar and Adamic, 2005] .  ...  However, even telling cities and celebrities apart is a difficult task when it comes to image recognition.  ...  potential catastrophe because 80% of the city of New Orleans and 20% of the New Orleans metropolitan area is below sea level along Lake Pontchartrain. 1998 1998-1 Johan van den Akker (CWI) DEGAS -An Active  ... 
doi:10.1109/wi.2004.10039 fatcat:ymtxnlnpvnakpgiecoebdn64ie

The Heaven and Earth Haggadah

Krista Hyde
2010
Their young are healthy; they grow up in the open; they leave and return no more. Who sets the wild ass free?  ...  The trees of the Creator drink their fill, the cedars of Levanon, G-d's own planting, where birds make their nests; the stork has her home in the junipers.  ...  Adar.  ... 
doi:10.7936/k7st7mxv fatcat:av3s5cab55g4znx3t4ga46pkp4